Description

Data Science Engineer (Journeyman)

Location: Annapolis Junction, MD (Hybrid)

Clearance: Public Trust

Integral Federal is looking to hire a Data Science Engineer to support a government customer as they continue to look for ways to enhance their layered approach to security through new state-of-the-art technologies, expanded use of existing and proven technologies, improved passenger identification techniques, and other developments that will continue to strengthen anti-terrorism capabilities.

• · Develop, maintain and troubleshoot data ingestion pipelines; Analyze and organize raw data and develop code/tools to Extract, Transform, and Load (ETL) data into the appropriate structures and data systems
• · Perform data processing, cleansing, mining and analysis utilizing data sources having relevant context that are internal and external to the business' domain data repositories/data warehouses
• · Combine raw information from different sources and explore ways to enhance data quality, performance, and reliability
• · Create performance metrics for data ingest, storage, and quality to track performance indicators
• · Create and present consumable summaries of findings through effective communication and visualizations
• · Interpret, understand, and assess customer requirements to provide custom tool development, query optimization, aggregation, categorization, and interpretation of data
• · Process event data and monitor for data quality events such as missing data, non-conformant data, and unexpected values and appropriately responds and resolves data quality issues
• · Follow appropriate protocols and procedures to handle purging and masking information deemed to be sensitive in nature by privacy stakeholders
• · Capture data lineage and produce lineage reports to inform end users and customers how the data was sourced, transformed, and where it resides. Extending data with third party sources of information when needed. Assist in maintaining the business-context data catalog
• · Effectively work, function and add value in data science and analytics environments. Previous experience in Cloud environments and AWS products, tools and services is a plus

Required:

• · 3+ years' experience and a bachelor's degree
• · Expertise and proficiency with Structure Query Language (SQL) and creating complex, optimized queries for large data sets
• · Skills in applying pattern recognition techniques to large structured, semi-structured, and unstructured data sets to automate and optimize data wrangling (extract, transform, clean, evaluate, normalize/standardize, and organize) from disparate sources
• · Experience with developing ETL capabilities and data ingestion pipelines in a data engineering or similar role
• · Knowledge of programming languages (e.g. Java, Python, SQL). RHEL shell scripting skills
• · Technical expertise with data models, data mining, data cleansing, and segmentation techniques
• · Strong numerical and analytical skills
• · Highly invested and interested in Data Engineering and Data Analytics

Integral partners with federal defense, intelligence, and civilian leaders to tackle their most important challenges and deliver positive outcomes. Since our founding in 1998, we have helped clients leverage existing and emerging technologies to transform their enterprises, empower growth, drive innovation, and build sustainable success. The forward-leaning solutions we deliver are tailored to each mission with a focus on keeping our nation safe and secure.

Integral is headquartered in McLean, VA and serves clients throughout the country.

We offer a comprehensive total rewards package including paid parental leave and immediate vesting in our 401(k). Give us a try and become part of a curated group of professionals at Integral Federal!

Our package also includes:

· Medical, Dental & Vision Insurance

· Flexible Spending Accounts

· Short-Term and Long-Term Disability Insurance

· Life Insurance

· Paid Time Off & Holidays

· Earned Bonuses & Awards

· Professional Training Reimbursement

· Paid Parking

· Employee Assistance Program

Equal Opportunity Employer/Protected Veteran/Disability

PI279213150